Measuring happiness increases happiness
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42001_2020_Article_69.pdf
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7ecf7c6e0eb7ec3dfa11f774d5ae5174
Author(s) •
Roessler, Jannik
Gloor, Peter A.
Date Issued
April 2020
Journal
Journal of Computational Social Science
Publisher
Springer Science and Business Media LLC
Citation
Roessler, Jannik and Peter A. Gloor. "Measuring happiness increases happiness." Journal of Computational Social Science (April 2020): https://doi.org/10.1007/s42001-020-00069-6 © 2020 Springer Nature
Version
Final published version
Abstract
Happiness has been an overarching goal of mankind at least since Aristotle spoke of Eudaimonia. However measuring happiness has been elusive and until now has almost exclusively been done by asking survey questions about self-perceived happiness. We propose a novel approach, tracking happiness and stress through changes in body signals with a smartwatch, the “Happimeter”. It predicts individual emotions from sensor data collected by an Android Wear smartwatch, such as acceleration, heartbeat, and activity. The Happimeter was used over three months in the innovation lab of a bank with 22 employees to measure individual happiness, activity, and stress. The participants were randomly divided into an experimental and a control group of similar size. Both groups wore the watch and entered their subjective happiness, activity and stress levels several times a day. The user-entered ratings were then used to train a machine learning system using the sensors of the smartwatch to subsequently automatically predict happiness, activity, and stress. The experimental group received ongoing feedback about their mood and which activity, sensor signals, or other people, made them happier or unhappier, while the control group did not get any feedback about their predicted and manually entered emotions. Just like in quantum physics we observed a “Heisenberg Effect”, where the participants made aware of their measurements changed their behavior: Members of the experimental group that received happiness feedback were 16% happier, and 26% more active than the control group at the end of the experiment. No effect was observed for stress.
MIT Department
Massachusetts Institute of Technology. Center for Collective Intelligence
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DOI of Published Version
https://doi.org/10.1007/s42001-020-00069-6